随着石油化工的迅速发展，精馏操作应用越来越广泛。精馏塔是石化工业中一种常 见的分离设备，主要用于多组分混合物料的分离过程。精馏塔是一个高耗能的生产装备， 而且是石化生产过程控制的重要控制对象，一直受到控制领域的密切关注。 精馏塔参数之间的耦合作用是影响精馏生产过程和产品质量的主要因素之一。精馏 过程属于多变量、时变、强耦合和具有分布参数的非线性过程，其精确的数学模型难以 建立，传统的控制方法对于精馏塔解耦控制难以取得满意的控制效果。本文以双组份精 馏塔为研究对象，针对塔顶和塔底的产品均需达到一定纯度的要求，在分析精馏塔工作 特性和塔顶和塔底的温度耦合特征的基础上，提出了一种塔顶和塔底温度模糊解耦控制 方案。塔顶和塔底温度解耦控制采用前馈补偿解耦法，通过对解耦环节的分析，设计模 糊前馈控制器及相应的模糊控制规则，对模糊控制进行清晰化处理后，实现模糊解耦控 制。 最后通过对塔顶和塔底温度的常规控制、常规解耦控制、模糊解耦控制进行了设定 值扰动测试、过程扰动测试仿真研究。比较模糊解耦控制与常规控制（不解偶）、常规 解耦控制的仿真结果，验证了塔顶和塔底温度模糊解耦控制的可行性，表明模糊解耦优 于常规控制和常规解耦控制。设计的模糊解耦控制器显示出具有良好的应用前景。

With the rapid development of the petrochemical industry, distillation operation is used more widely. The column is a kind of common separation equipment in petrochemical industry, mainly for the separation process of mixed materials. The column is a high energy production equipment and it that has been concerned in the control areas is the important control object in the petrochemical process control. The coupling between the column parameters affecting distillation production process and product quality is one of the main reasons. Distillation process belongs to multivariable and time-varying, strong coupling and non-linear process with distributed parameter, that the accurate mathematical model is hard to set up. Traditional control method for the column decoupling control is difficult to obtain satisfactory control effect. In this paper, Based on the column of two-component as research object, the product of tower and the bottom all needs to reach certain purity requirements, on the analysis of working characteristic of the column and the temperature coupling characteristics of the tower and bottom, was presented based on the temperature fuzzy decoupling control scheme for tower and bottom. Top and bottom temperature decoupling control adopts feed-forward compensation decoupling method, through to the decoupling link analysis, design fuzzy feed-forward controller and the corresponding fuzzy control rules and biaxial streching processing for fuzzy control to realize fuzzy decoupling control. Finally, the conventional temperature control, conventional decoupling control, fuzzy decoupling control for top and bottom set disturbance value test, simulation study of the process disturbance test. The simulation result of fuzzy decoupling control compared with conventional temperature control and conventional decoupling control verify the feasibility of fuzzy decoupling control for temperature of the top and bottom that is superior to conventional control and conventional decoupling control. The fuzzy decoupling controller shows a good prospect.